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Resting-State EEG Functional Connectivity Analysis: Schizophrenia Patients

Mohamad Saridi, Nurul Syafiqah (2017) Resting-State EEG Functional Connectivity Analysis: Schizophrenia Patients. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Schizophrenia (SZ) is a mental disorder that involved a breakdown in the relation between behaviour,emotion and thoughts.It is a lifelong disorder and affects how a person feels,thinks and acts.Until now,there is no definitive standard in the diagnosis of schizophrenia, which is mainly based on patient interviews and symptom history.Furthermore,disorders of altered brain connectivity such as Schizophrenia calls for effective connectivity investigation.An alternative approach to this problem is the study of distributions or networks in the brain by using Resting-State Analysis.The general purpose of the project is to detect abnormalities in resting state EEG functional connectivity in Schizophrenia patients,in comparison to healthy controls. It was hypothesized that the default mode network (DMN) would show abnormal connectivity in patients with schizophrenia.64 channel resting state EEG were recorded in 15 SZ subjects and 15 matched HC subjects.The software used in this project are EEGLAB,MATLAB and LORETA.First, pre-processing will be done on filtering which include high pass filter cut-off of 30 Hz and low pass filter cut-off of 0.3 Hz.The low pass filter is used to get rid of baseline drift while the high pass filter is to get rid of noise.For high pass filter,sodium chloride (electrolyte) from sweating reacting with metals of the electrodes may produce a slow baseline drift.After that, we down sample from 1000 to 250 Hz.Then,continued with manual rejection for muscle artifact and proceed using ICA in EEGLab to reject continuous data for eye/ocular artifacts.Next,the pre-processed data will be exported and analyzed using Loreta.Schizophrenia displayed increase lagged coherence and lagged phase synchronization between DMN networks,most notably in the left inferior parietal lobe,post cingulate gyrus and right inferior parietal lobe in the alpha and beta bands.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Signal processing,Electroencephalography -- > Data processing.
Subjects: Q Science > Q Science (General)
Q Science > QP Physiology
Divisions: Faculty of Electronics and Computer Engineering > Department of Industrial Electronics
Depositing User: Mohd. Nazir Taib
Date Deposited: 26 Nov 2018 09:08
Last Modified: 26 Nov 2018 09:08
URI: http://digitalcollection.utem.edu.my/id/eprint/21248

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